Visual brain-computer interfaces (BCIs) often yield high performance only when targets are fixated with the eyes. Furthermore, many paradigms use intense visual stimulation, which can be irritating… (More)

The interest in saccadic IOR is funneled by the hypothesis that it serves a clear functional purpose in the selection of fixation points: the facilitation of foraging. In this study, we arrive at a… (More)

Soft robots can exhibit diverse behaviors with simple types of actuation by partially outsourcing control to the morphological and material properties of their soft bodies, which is made possible by… (More)

One of the foremost goals of rehabilitative Brain-Computer Interface (BCI) research is to design a mental typewriter, that enables paralyzed patients to communicate with their environment based on… (More)

Increasing the communication speed of brain-computer interfaces (BCIs) is a major aim of current BCI-research. The idea to automatically detect error-related potentials (ErrPs) in order to veto… (More)

Animals and humans engage in an enormous variety of behaviors which are orchestrated through a complex interaction of physical and informational processes: the physical interaction of the bodies with… (More)

In conventional “sense-think-act” control architectures, perception is reduced to a passive collection of sensory information, followed by a mapping onto a prestructured internal world model. For… (More)

This paper focuses on learning and adaptation of sensorimotor contingencies. As a specific case, we investigate the application of prism glasses, which change visual-motor contingencies. After an… (More)

In recent years, several studies proposed the application of echo state networks (ESN) to adaptive reinforcement learning schemes for the control of artificial autonomous agents. Especially the… (More)